Data Intelligence Stack Owner

Overview This is a pro-bono volunteer position. JerseySTEM is seeking an AI-Forward Data Intelligence Stack Owner to lead the evolution of our data-to-intelligence pipeline. The scope of this role is strictly focused on the Intelligence Layer of the tech stack, transforming organizational data into automated insights. You will architect a stack that leverages Generative AI, Automated Data Pipelines, and Predictive Modeling to provide real-time, actionable intelligence. You are the bridge between raw data silos and an AI-enhanced decision-making culture. Responsibilities AI-Centric Architecture: Design and oversee a data stack (Google BigQuery, Vertex AI, or similar) that prioritizes AI readiness and automated data flow. Generative Insights: Implement AI "Chat-with-your-Data" interfaces and LLM-driven summarization for stakeholders to interact with organizational data. Predictive Analytics: Move beyond historical reporting to build models that predict volunteer churn, student engagement trends, and fundraising opportunities. Automated Governance: Utilize AI tools to monitor data quality, flag anomalies, and ensure privacy compliance automatically. Orchestration: Integrate data from platforms (Salesforce, Jira, Google Workspace) using AI-friendly ETL/ELT processes that minimize manual intervention. Implementation: Directly configure and code/test the initial data pipelines, AI integrations, and reporting logic before scaling through the lean team. Team Leadership: Recruit and mentor a "Lean Data Team" focused on modern techniques like prompt engineering for data, automated visualization, and data engineering. Qualifications Applied AI for Analytics: Strong understanding of how to use LLMs specifically for data extraction, SQL generation, and automated synthesis Modern Data Stack Expertise: Experience with cloud data warehouses and AI-integrated BI tools (e.g., Looker's Duet AI, Power BI Copilot). Data Engineering Mindset: Proficiency in SQL and Python, with an emphasis on building clean data for AI consumption. Visionary Thinking: Ability to replace spreadsheets with automated, intelligent solutions. Ability to translate AI-driven outputs simply to cross-functional partners. Comfortable working in a remote, distributed, member-driven environment. Minimum commitment of 6 hours per week. Preferred Qualifications Experience building data products, automated reporting agents. Previous experience in a leadership role within a tech-focused nonprofit or startup leading through shifts from legacy to automated data ecosystems. Familiarity with "AI-as-a-Service" platforms and low-code AI automation. Retired professionals or those seeking meaningful pro bono work are welcome. Key Outcomes The Intelligent Stack: A data environment where AI performs the first-layer of analysis. Self-Service Intelligence: Stakeholders can get answers to complex questions through automated agents rather than waiting for manual reports. Zero-Latency Insights: Implementing systems where key stakeholders receive automated proactive alerts and summaries via Chat/Email driven by data anomalies or trends Scalable Team: A high-performing member team trained in AI-forward data practices J-18808-Ljbffr